Hiroko Sakuma

618 citations
44 papers · 449 · h-index 11

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Respiratory viral infections research 13
    • Influenza Virus Research Studies 3
    • Viral gastroenteritis research and epidemiology 7

Hiroko Sakuma

44 papers receiving 437 citations

Peers

Hiroko Sakuma
Comparison fields: 5 of 69
  • Nephrology 69
  • Hematology 92
  • Infectious Diseases 89
  • Epidemiology 132
  • Immunology 61
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Citations per year

Countries citing papers authored by Hiroko Sakuma

Since Specialization
Citations

This map shows the geographic impact of Hiroko Sakuma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hiroko Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Sakuma more than expected).

Fields of papers citing papers by Hiroko Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroko Sakuma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hiroko Sakuma. The network helps show where Hiroko Sakuma may publish in the future.

Co-authors

The 25 scholars most cited alongside Hiroko Sakuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroko Sakuma Line = papers co-authored together Hiroko Sakuma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Concurrent use of granulocyte colony-stimulating factor with low-dose cytosine arabinoside and aclarubicin for previously treated acute myelogenous leukemia: a pilot study.
199586
2 199639
3 200838
4 200633
5 200128
6 202025
7 202219
8 201019
9 202015
10 201913
11 200211
12 202210
13 201410
14 20238
15 20218
16 20228
17 20087
18 20237
19 20137
20 20226

About Hiroko Sakuma

Hiroko Sakuma is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 44 papers that have together received 449 indexed citations. Recurring topics across this work include Respiratory viral infections research (13 papers), Viral gastroenteritis research and epidemiology (7 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Viral Infections and Immunology Research (3 papers), Renal Diseases and Glomerulopathies (3 papers), Retinal Development and Disorders (3 papers), Influenza Virus Research Studies (3 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). The work is most often cited by research in Nephrology (69 citations), Hematology (92 citations), Infectious Diseases (89 citations), Epidemiology (132 citations) and Immunology (61 citations). Hiroko Sakuma has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Mitsuaki Hosoya, Yukihiko Kawasaki, Koichi Hashimoto, Hitoshi Suzuki, Koki Yamada, Tomohito Gohda, Kei Saito, T Koike, Yusuke Suzuki and S Furusawa. Their work appears in journals such as Journal of Medical Virology, Influenza and Other Respiratory Viruses, EXPERIMENTAL ANIMALS, Diabetes and PEDIATRICS.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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